Click or drag to resize

MultiLinearRegressionResult Class

Describes the result of a multiple linear regression fit.
Inheritance Hierarchy

Namespace:  Meta.Numerics.Statistics
Assembly:  Meta.Numerics (in Meta.Numerics.dll) Version: 4.0.5.0 (4.0.5.0)
Syntax
public sealed class MultiLinearRegressionResult : GeneralLinearRegressionResult

The MultiLinearRegressionResult type exposes the following members.

Properties
  NameDescription
Public propertyAnova
Gets an ANOVA analysis of the regression.
(Inherited from GeneralLinearRegressionResult.)
Public propertyF
Gets an F-test for the regression.
(Inherited from GeneralLinearRegressionResult.)
Public propertyIntercept
Gets an estimate of the intercept.
(Overrides GeneralLinearRegressionResultIntercept.)
Public propertyParameters
Gets the parameters of the regression.
(Inherited from FitResult.)
Public propertyResiduals
Gets the residuals
Public propertyRSquared
Gets r2 for the regression.
(Inherited from GeneralLinearRegressionResult.)
Top
Methods
  NameDescription
Public methodCoefficientOf(Int32)
Gets the coefficient of the input with the given index.
Public methodCoefficientOf(String)
Gets the coefficient of the input with the given name.
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodPredict(IReadOnlyListDouble)
Computes the predicted y at a new value of x.
Public methodPredict(Double)
Computes the predicted value of y for the given inputs.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Top
See Also